A method to fix GPT-3 after deployment with user feedback, without re-training.

Code for the paper "Aligning LLM Agents by Learning Latent Preference from User Edits".

Code for RecSys'19 paper: Leveraging Post-click Feedback for Content Recommendations

This web app recommends trending movies and songs by analyzing real-time tweets using sentiment analysis. It fetches data from Spotify and TMDB, and sends personalized email updates to users.

This is the repository for the paper "Learning from Implicit User Feedback, Emotions and Demographic Information in Task-Oriented and Document-Grounded Dialogues", which appears in EMNLP 2024 Findings.

Moteur d'analyse de sentiments d'utilisateurs français.

A new package that simplifies and structures user feedback or descriptions about VPN sign-up experiences. It takes text input from users describing their sign-up process with a VPN service, such as ea

Automated LLM-based sentiment analysis of user feedback with interactive visualizations for trends and insights.

A simple and user-friendly calculator built with Python🤩🤩😇😇. It is designed to gracefully handle all types of errors.

🛠️ Evaluate unified models effortlessly with ULMEvalKit, your open-source toolkit for comprehensive image generation benchmarks and streamlined workflows.

GEO Knowledge Hub comments module

🔍 Track your life validation with Claude Code, measuring how often you’re deemed "absolutely right" versus just "right".

📹 Automate video summaries and monitor Bilibili updates with this smart Feishu bot for efficient message delivery and AI integration.

🔍 Evaluate web search APIs with our framework, testing accuracy and relevance across multiple AI agents and benchmarks for better information retrieval.